Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published March 7, 2012 | Published
Journal Article Open

Reducing the effect of seismic noise in LIGO searches by targeted veto generation

Abstract

One of the major obstacles to the detection and study of gravitational waves using ground-based laser interferometers is the effect of seismic noise on instrument sensitivity. Environmental disturbances cause motion of the interferometer optics, coupling as noise in the gravitational wave data output whose magnitude can be much greater than that of an astrophysical signal. We present an improved method of identifying times of high seismic noise coupling by tuning a gravitational-wave burst detection algorithm to the low-frequency signature of these events and testing for coincidence with a low-latency compact binary coalescence detection algorithm. This method has been proven highly effective in removing transients of seismic origin, with 60% of all compact binary coalescence candidate events correlated with seismic noise in just 6% of analysis time.

Additional Information

© 2012 IOP Publishing Ltd. Received 12 August 2011, in final form 15 December 2011. Published 10 February 2012. The authors would like to thank Gabriela Gonzalez, Jessica McIver, Greg Mendell, Laura Nuttall, and all members of the Detector Characterization group, the Ω-pipeline team and the HierarchichalVeto team for discussions. DMM was supported by a studentship from the Science and Technology Facilities Council. SF was supported by the Royal Society. BH was supported by NSF grant PHY-0970074 and the UWM Research Growth Initiative. LP and AL were supported by NSF grant PHY-0847611. JRS was supported by NSF grants PHY-0854812 (Syracuse) and PHY-0970147 (Fullerton).

Attached Files

Published - Macleod2012p17456Classical_Quant_Grav.pdf

Files

Macleod2012p17456Classical_Quant_Grav.pdf
Files (1.9 MB)
Name Size Download all
md5:2dba05d6ebc09c05b041f57add331e2a
1.9 MB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 24, 2023